Top Healthtech Data & Analytics Jobs

Lead enterprise BI and analytics solutions for healthcare risk adjustment programs. Build Power BI dashboards, semantic models, KPIs, and executive reporting; develop Databricks and Spark data pipelines; analyze claims, member, provider, RAF, and HCC data; and ensure data quality and governance. Partner with business leaders, automate reporting, support production systems, mentor analysts, and communicate insights to executive audiences.

Develops and maintains Power BI reports and analytics solutions, troubleshoots reporting issues, traces data through SQL and Databricks, and explains insights to nontechnical users. Advises customers and developers on BI and AI solutions, explores AI automation opportunities, recommends platform strategies, and provides training and best practices. The role requires advanced Power BI, DAX, SQL, Databricks, AI, and healthcare data knowledge, with Epic familiarity preferred.

Owns growth analytics methodology, savings models, segmentation analyses, and client-facing commercial narratives. Builds rigorous, auditable financial or actuarial models, develops executive presentations, validates data with SQL, and explains savings methodologies to employers, health plans, consultants, and executives. Partners with sales, product, data engineering, BI, and product analytics teams, implements AI-enabled analytical workflows, and manages an analyst.

Designs and implements complex data solutions, improves data architecture and governance, and leads major development efforts. Ensures scalable, available data infrastructure for analytics and operations, mentors junior engineers, and supports healthcare data compliance and reporting. The role requires expertise in data modeling, SQL Server, cloud technologies, and healthcare data systems, with preferred experience in machine learning pipelines, real-time streaming, claims systems, EMR platforms, and Tableau.

Develop interactive Power BI dashboards and automated reporting processes using existing databases. Analyze Institutional Review Board data to identify trends, performance metrics, workflow improvements, and actionable operational insights. Collaborate with stakeholders, manage multiple projects and deadlines, and support administrative or project-specific responsibilities. The role is hybrid, grant-funded through November 2027, and requires residence in New York, New Jersey, or Connecticut.

The BI Analyst partners with business and technology stakeholders to frame analytical questions, define KPIs, validate data, identify trends, and deliver actionable recommendations. The role develops dashboards, reports, visualizations, and custom extracts; investigates data quality issues; supports BI solution planning, testing, and delivery; and improves existing analytical products. It also includes stakeholder communication, user training, standards development, and guidance for team members.

Leads growth analytics by developing rigorous savings methodologies, actuarial and financial models, segmentation analyses, pitch materials, and client presentations. Partners with sales, product, health economics, and data teams to communicate Lantern’s value proposition to employers, health plans, consultants, and executives. Manages and coaches an analyst while ensuring analytical accuracy, scalability, and effective use of AI-enabled workflows.

Build and maintain client and internal healthcare analytics covering savings, utilization, PMPM trends, member attachment, and provider engagement. Define consistent metrics in SQL and Metabase, create self-service reporting, and develop ROI models, benchmarks, case studies, and research supporting sales and retention. Partner with engineering on data models and integrations while independently analyzing and communicating complex claims, eligibility, and DPC data using tools such as Python, R, SAS, Tableau, and Excel.

Owns specialty pharmacy data-partner specification negotiations, data mapping, Ascend platform configuration, internal QA, defect resolution, and UAT readiness across multiple implementations. The role evaluates standard versus custom data requirements, coordinates with delivery, engagement, product, and engineering teams, maintains data dictionaries and implementation documentation, supports schema normalization, and develops repeatable testing and onboarding processes. It is primarily remote with occasional travel.

Leads the integration, transformation, validation, and provisioning of large-scale healthcare datasets, including claims, pharmacy, EMR, and longitudinal patient data. Designs scalable data pipelines and ETL/ELT frameworks using Snowflake on Azure, while supporting Hadoop, Spark, and Scala environments. Partners with suppliers, engineering, architecture, DevOps, and data management teams. Builds data quality, monitoring, CI/CD, testing, and deployment solutions while guiding Agile development and exploring AI-assisted engineering and AI agent functionality.